October 2020
Volume 20, Issue 11
Open Access
Vision Sciences Society Annual Meeting Abstract  |   October 2020
Temporal evolution of colour representation measured with magnetoencephalography (MEG).
Author Affiliations & Notes
  • Erin Goddard
    McGill University
  • Christopher Shooner
    McGill University
  • Kathy T Mullen
    McGill University
  • Footnotes
    Acknowledgements  This work was funded by Canadian Institutes of Health Research (CIHR) grant 153277 and Natural Sciences and Engineering Research Council (grant RGPIN 183625-05) to KTM
Journal of Vision October 2020, Vol.20, 820. doi:https://doi.org/10.1167/jov.20.11.820
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      Erin Goddard, Christopher Shooner, Kathy T Mullen; Temporal evolution of colour representation measured with magnetoencephalography (MEG).. Journal of Vision 2020;20(11):820. https://doi.org/10.1167/jov.20.11.820.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Colour perception is based on the differential spectral responses of the L,M and S-cones, subsequent subcortical and cortical computations, and may include the influence of higher order factors such as language. Due to our much higher sensitivity to L/M cone opponent contrast than S-cone contrast, a colour space that is ‘perceptually uniform’ is very different to one defined by cone contrast. Here we compare the evolution of different colour representations over time using magnetoencephalography (MEG). We measured neural responses to 14 hues at each of 3 achromatic offsets (increment, equiluminant and decrement). Stimuli were circular blobs (40-deg diameter) of 300ms duration, smoothed in space and time, each presented 42 times in a counterbalanced order. For each subject (n=8), we trained classifiers to discriminate all possible pairs of stimuli using MEG responses at each timepoint (10ms bins). From ~100ms after stimulus-onset, we found robust classification of stimuli varying in hue and/or achromatic offset. For stimuli differing only in achromatic offset, classifier performance peaked at ~160ms after stimulus onset, then decayed. For stimuli that varied only in hue, classifier performance remained high ~160-400ms. This suggests that while early neural responses differentiate stimuli both on chromatic and achromatic content, they then shift towards a more colour-dominated response. Using Representational Similarity Analysis (RSA) we found that models based on colour, including hue and colour category, correlated well with the data at later times (after 400ms). Surprisingly, these models did not perform significantly better than one based on raw cone contrast, even though cone contrast is not a good predictor of perceptual measures such as visibility and discriminability. We conclude that to demonstrate the emergence of neural representations of perceived hue or colour category, it is crucial to demonstrate that these ‘higher-level’ models provide a better account than lower-level stimulus representations, such as cone contrast.

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